Best AI tools for< Download Nlp Datasets >

Suno AI Download is a free tool for downloading music generated by Suno AI. It allows users to download music from Suno AI's website by providing a share URL. The tool is easy to use and does not require any registration or installation.

Genius.io is a cutting-edge platform that empowers individuals to harness the latest technologies, share their innovative creations, and foster meaningful connections within a vibrant community. Its mission is to provide a platform where every idea, no matter how big or small, has the potential to make a significant impact.

Suno-Top is a free AI-powered music downloader tool that allows users to easily download Suno music, including mp3 and mp4 files, lyrics, covers, and song prompts. Users can copy the Suno song link, paste it on the website, and download the desired content. Additionally, Suno-Top offers creative AI music crafting techniques, such as live performances, beat enhancements, instrumental nuances, and duet dynamics, to enhance musical creativity and collaboration. The tool supports various music genres and styles, providing a unique platform for users to explore and experiment with different musical compositions.

The App Store by Apple is a trusted platform where users can discover and download a wide range of apps for their Apple devices. With nearly two million apps available worldwide, the App Store offers a curated selection of apps that are held to high standards for privacy, security, and content. Users can explore stories, collections, and in-app events, receive personalized suggestions, and enjoy a rich search experience. The platform prioritizes user privacy and security, with strict guidelines for app developers and a dedicated team of reviewers. The App Store also emphasizes the seamless integration of hardware and software to enhance user experiences. With features like instant downloads, secure payments, and easy app management across devices, the App Store aims to provide a safe and user-friendly environment for app discovery and usage.

ttsMP3.com is a free Text-To-Speech and Text-to-MP3 tool that allows users to easily convert US English text into professional speech for various purposes such as e-learning, presentations, YouTube videos, and website accessibility. The tool offers a wide range of voices in different languages and accents, including regular and AI voices. Users can download the generated speech as MP3 files, and customize speech with features like breaks, emphasis, speed adjustments, pitch variations, whispers, and conversations. Supported voice languages include Arabic, English, Portuguese, Spanish, Chinese, Danish, Dutch, French, German, Icelandic, Indian, Italian, Japanese, Korean, Mexican, Norwegian, Polish, Romanian, Russian, Swedish, Turkish, and Welsh.

This Person Does Not Exist is a website that generates random, realistic faces of people who do not exist. The website uses a neural network called StyleGAN, developed by Nvidia, to create these faces. StyleGAN is a generative adversarial network (GAN), which is a type of machine learning algorithm that can generate new data from a given dataset. In the case of StyleGAN, the dataset is a collection of images of human faces. The GAN is trained on this dataset, and it learns to generate new faces that are realistic and indistinguishable from real faces.

LM Studio is an AI tool designed for discovering, downloading, and running local LLMs (Large Language Models). Users can run LLMs on their laptops offline, use models through an in-app Chat UI or a local server, download compatible model files from HuggingFace repositories, and discover new LLMs. The tool ensures privacy by not collecting data or monitoring user actions, making it suitable for personal and business use. LM Studio supports various models like ggml Llama, MPT, and StarCoder on Hugging Face, with minimum hardware/software requirements specified for different platforms.

Cascadeur is a standalone 3D software that lets you create keyframe animation, as well as clean up and edit any imported ones. Thanks to its AI-assisted and physics tools you can dramatically speed up the animation process and get high quality results. It works with .FBX, .DAE and .USD files making it easy to integrate into any animation workflow.

SORA AI Video Generator is a powerful online tool that allows you to create stunning videos from text. With SORA AI, you can easily convert your written content into engaging and informative videos, perfect for marketing, education, and more. SORA AI's advanced artificial intelligence technology analyzes your text and automatically generates a video that is tailored to your specific needs. You can customize your videos with a variety of features, including text-to-speech narration, background music, and images. SORA AI also offers a wide range of templates to help you get started quickly and easily.

PseudoEditor is a free, fast, and online pseudocode IDE/editor designed to assist users in writing and debugging pseudocode efficiently. It offers dynamic syntax highlighting, code saving, error highlighting, and a pseudocode compiler feature. The platform aims to provide a smoother and faster writing environment for creating algorithms, resulting in up to 5x faster pseudocode writing compared to traditional programs like notepad. PseudoEditor is the first and only browser-based pseudocode editor/IDE available for free, supported by ads to cover hosting costs.

Beatoven.ai is a royalty-free AI music generator that allows users to create unique, mood-based music for their videos, podcasts, and other content. The platform uses advanced AI music generation techniques to compose music that matches the desired mood and style. Users can choose from a variety of genres, emotions, and tempos, and can even input text to describe the type of music they want. Beatoven.ai is a great tool for content creators who need high-quality, royalty-free music for their projects.

ConquerortheCrown is an AI-powered mentor that provides guidance and support to users. It is designed to help users achieve their goals and live a more fulfilling life. ConquerortheCrown uses a variety of AI techniques to provide personalized advice and support to users. It can help users with a variety of tasks, including setting goals, making decisions, and overcoming challenges.

AskNow is a website that allows users to have audio conversations with AI-powered avatars. Users can choose from a variety of avatars, each with its own unique personality and expertise. AskNow can be used for a variety of purposes, including getting advice, learning new things, or simply having a conversation. The website is easy to use and the avatars are very realistic. AskNow is a great way to experience the power of AI and to have some fun at the same time.

Stickerble is an all-in-one AI sticker app that allows users to create custom beautiful AI stickers in just minutes. With over 23,500 free HD AI stickers available, users can transform their ideas into visually stunning stickers using the latest open source AI image generation models. The app enables users to create personalized face stickers from selfies, design custom emoji stickers, generate multiple variations of stickers, and transfer styles to create unique blends. Stickerble is designed to be user-friendly and expressive, catering to individuals looking to add a personal touch to their digital communication.

Renderforest is a comprehensive online platform that provides a suite of design and marketing tools to help businesses and individuals create stunning videos, websites, logos, mockups, presentations, graphics, and more. With Renderforest, users can access a vast library of professionally designed templates, animations, and stock footage to create high-quality content without the need for extensive design skills or experience. The platform offers a user-friendly interface, making it easy for anyone to create professional-looking designs in minutes. Renderforest also provides a range of advanced features, such as video editing, website hosting, and e-commerce integration, to help users maximize their marketing efforts.

Nero Platinum Suite is a comprehensive software collection for Windows PCs that provides a wide range of multimedia capabilities, including burning, managing, optimizing, and editing photos, videos, and music files. It includes various AI-powered features such as the Nero AI Image Upscaler, Nero AI Video Upscaler, and Nero AI Photo Tagger, which enhance and simplify multimedia tasks.

Podcastle is an all-in-one podcasting software that empowers creators of all backgrounds and experience levels with an intuitive, AI-powered platform. It offers a wide range of features, including a recording studio, audio editor, video editor, AI-generated voices, and hosting hub, making it easy to create, edit, and publish high-quality podcasts and videos. Podcastle is designed to be user-friendly and accessible, with no prior experience or technical expertise required.

Quiz Solver is an AI-powered study companion that helps users crack their questions and master their quizzes. It is a Chrome extension that can be used to solve multiple-choice questions from any quiz or assignment from a supported website or LMS. Quiz Solver uses GPT-4, a powerful AI language model, to provide accurate and instant answers. It is privacy-centric and universally compatible, making it a valuable tool for students and professionals alike.

Drumless is an AI-powered application that allows users to isolate the drums from any song and create custom backing tracks. The platform was designed to cater to drummers who wish to play along with their favorite band's music in a more creative and personalized manner. Leveraging cutting-edge Artificial Intelligence technology, Drumless empowers users to unleash their musical creativity and explore new possibilities in music production.

Summarizer AI is a free online tool that simplifies and condenses extensive text documents, articles, or any written content into concise, easily digestible summaries. This cutting-edge artificial intelligence (AI) technology aims to enhance productivity and comprehension by breaking down complex information into its most essential points, making it particularly useful for students, researchers, professionals, and anyone looking to quickly grasp the main ideas of lengthy texts. The platform is user-friendly, emphasizing privacy and security for its users. It enhances reading comprehension by highlighting key terms and facilitates efficient knowledge acquisition without compromising on data confidentiality. Summarizer AI stands out for its versatility, ease of use, and commitment to user privacy, making it an invaluable resource for efficient text analysis and summarization.

LLMeBench is a flexible framework designed for accelerating benchmarking of Large Language Models (LLMs) in the field of Natural Language Processing (NLP). It supports evaluation of various NLP tasks using model providers like OpenAI, HuggingFace Inference API, and Petals. The framework is customizable for different NLP tasks, LLM models, and datasets across multiple languages. It features extensive caching capabilities, supports zero- and few-shot learning paradigms, and allows on-the-fly dataset download and caching. LLMeBench is open-source and continuously expanding to support new models accessible through APIs.

MindNLP is an open-source NLP library based on MindSpore. It provides a platform for solving natural language processing tasks, containing many common approaches in NLP. It can help researchers and developers to construct and train models more conveniently and rapidly. Key features of MindNLP include: * Comprehensive data processing: Several classical NLP datasets are packaged into a friendly module for easy use, such as Multi30k, SQuAD, CoNLL, etc. * Friendly NLP model toolset: MindNLP provides various configurable components. It is friendly to customize models using MindNLP. * Easy-to-use engine: MindNLP simplified complicated training process in MindSpore. It supports Trainer and Evaluator interfaces to train and evaluate models easily. MindNLP supports a wide range of NLP tasks, including: * Language modeling * Machine translation * Question answering * Sentiment analysis * Sequence labeling * Summarization MindNLP also supports industry-leading Large Language Models (LLMs), including Llama, GLM, RWKV, etc. For support related to large language models, including pre-training, fine-tuning, and inference demo examples, you can find them in the "llm" directory. To install MindNLP, you can either install it from Pypi, download the daily build wheel, or install it from source. The installation instructions are provided in the documentation. MindNLP is released under the Apache 2.0 license. If you find this project useful in your research, please consider citing the following paper: @misc{mindnlp2022, title={{MindNLP}: a MindSpore NLP library}, author={MindNLP Contributors}, howpublished = {\url{https://github.com/mindlab-ai/mindnlp}}, year={2022} }

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

Awesome-LLMs-for-Video-Understanding is a repository dedicated to exploring Video Understanding with Large Language Models. It provides a comprehensive survey of the field, covering models, pretraining, instruction tuning, and hybrid methods. The repository also includes information on tasks, datasets, and benchmarks related to video understanding. Contributors are encouraged to add new papers, projects, and materials to enhance the repository.

WebLINX is a Python library and dataset for real-world website navigation with multi-turn dialogue. The repository provides code for training models reported in the WebLINX paper, along with a comprehensive API to work with the dataset. It includes modules for data processing, model evaluation, and utility functions. The modeling directory contains code for processing, training, and evaluating models such as DMR, LLaMA, MindAct, Pix2Act, and Flan-T5. Users can install specific dependencies for HTML processing, video processing, model evaluation, and library development. The evaluation module provides metrics and functions for evaluating models, with ongoing work to improve documentation and functionality.

VideoLLaMA 2 is a project focused on advancing spatial-temporal modeling and audio understanding in video-LLMs. It provides tools for multi-choice video QA, open-ended video QA, and video captioning. The project offers model zoo with different configurations for visual encoder and language decoder. It includes training and evaluation guides, as well as inference capabilities for video and image processing. The project also features a demo setup for running a video-based Large Language Model web demonstration.

This repository serves as a collection of Google Colaboratory Notebooks for various tasks in Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, Generative Adversarial Networks (GANs), Streamlit applications, tutorials, UI/UX experiments, and other miscellaneous projects. It includes a wide range of pre-trained models, fine-tuning examples, and demos for tasks such as text generation, image processing, and more. The notebooks cover topics like self-attention, language model finetuning, emotion detection, image inpainting, and streamlit app creation. Users can explore different models, datasets, and techniques through these shared notebooks.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

RankLLM is a suite of prompt-decoders compatible with open source LLMs like Vicuna and Zephyr. It allows users to create custom ranking models for various NLP tasks, such as document reranking, question answering, and summarization. The tool offers a variety of features, including the ability to fine-tune models on custom datasets, use different retrieval methods, and control the context size and variable passages. RankLLM is easy to use and can be integrated into existing NLP pipelines.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

NeMo Curator is a GPU-accelerated open-source framework designed for efficient large language model data curation. It provides scalable dataset preparation for tasks like foundation model pretraining, domain-adaptive pretraining, supervised fine-tuning, and parameter-efficient fine-tuning. The library leverages GPUs with Dask and RAPIDS to accelerate data curation, offering customizable and modular interfaces for pipeline expansion and model convergence. Key features include data download, text extraction, quality filtering, deduplication, downstream-task decontamination, distributed data classification, and PII redaction. NeMo Curator is suitable for curating high-quality datasets for large language model training.

Awesome Khmer Language is a comprehensive collection of resources for the Khmer language, including tools, datasets, research papers, projects/models, blogs/slides, and miscellaneous items. It covers a wide range of topics related to Khmer language processing, such as character normalization, word segmentation, part-of-speech tagging, optical character recognition, text-to-speech, and more. The repository aims to support the development of natural language processing applications for the Khmer language by providing a diverse set of resources and tools for researchers and developers.

Deep Lake is a Database for AI powered by a storage format optimized for deep-learning applications. Deep Lake can be used for: 1. Storing data and vectors while building LLM applications 2. Managing datasets while training deep learning models Deep Lake simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in your own cloud and in one place. Deep Lake is used by Intel, Bayer Radiology, Matterport, ZERO Systems, Red Cross, Yale, & Oxford.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Amber is the first model in the LLM360 family, an initiative for comprehensive and fully open-sourced LLMs. It is a 7B English language model with the LLaMA architecture. The model type is a language model with the same architecture as LLaMA-7B. It is licensed under Apache 2.0. The resources available include training code, data preparation, metrics, and fully processed Amber pretraining data. The model has been trained on various datasets like Arxiv, Book, C4, Refined-Web, StarCoder, StackExchange, and Wikipedia. The hyperparameters include a total of 6.7B parameters, hidden size of 4096, intermediate size of 11008, 32 attention heads, 32 hidden layers, RMSNorm ε of 1e^-6, max sequence length of 2048, and a vocabulary size of 32000.

Assists in downloading any video resource.

create professional consulting slide with preview on chatgpt and free download as pptx

Assists in finding music download platforms, prioritizes free options.

Download and Run Open Source LLMs Locally.

Download data from the internet. Fetch the content of sites and make it available to the session, given a URL.

I invert colors in photos and provide download links.

Your article formatting expert with Word download link feature.

I help you to explore the galaxy by answering astronomy questions with the Gaia Space Telescope. Ask a question, download .csv, upload .csv for plotting

Public Domain PDF Books Finder GPT offers an expansive library of PDFs for easy search and download. It now specializes in finding public domain books from trusted sources.

Efficiently converts wireframes to Tailwind HTML with code and download link.

Print individual (1) die cut stickers. I create custom stickers and guide you to download them. After downloading them, you can send them to Midwest Label and print out 1-100 individual labels.

Make custom Pokémon from camera. Download and battle them verses real ones! (beta)

Upload an image of an event poster, download the event as a .ICS file

Your go-to source for in-depth US zip code demographics and statistics, with easy-to-download data tables.

Approachable expert on FDA medical device regulation. Offering direct download links for related regulation and guidance documents from FDA sites.

I'm a search engine for jobs opportunities in the aerospace industry. DOWNLOAD YOUR CV or ENTER YOUR JOB TITLE / Je suis un moteur de recherche d'offres d'emploi, d'alternance, de stages dans le secteur de l'Aéronautique. TÉLÉCHARGER VOTRE CV ou SAISISSEZ LE TITRE DE VOTRE MÉTIER.

Create PowerPoint PPTX presentations with ChatGPT. Use prompts to directly create PowerPoint files. Supports any topic. Download as PPTX or PDF. Presentation GPT is the best GPT to create PowerPoint presentations.

A GPT that can create PDFs and DocX documents, worksheets, resumes, etc. for you to directly download. See example outputs on https://www.gpt2office.com/

Access free car repair manuals and auto repair manuals with our AI tool. Ideal for DIY car repair, use online car repair manuals and download car repair manuals. Discover the best car repair manuals for beginners and use car diagnostic tools. Buy car parts online and follow a car maintenance .

Welcome! I'm a voice-focused language teacher for interactive speaking practice. To enable voice, download the app and tap the headphone button next to my chat window. Then choose your preferred voice. When you're ready, tell me what language you'd like to learn. It's FREE!